- Computational Genomics 2024🔍
- Industrial Big Data and Computational Sustainability🔍
- SequenceLab🔍
- Mathematics🔍
- Exploratory Visual Analysis of Statistical Results from Microarray ...🔍
- Computational Methods for Numerical Analysis with R🔍
- Comparison of Variable Selection Methods for Time‐to‐Event Data ...🔍
- High|throughput computational methods and software for ...🔍
Statistical and Computational Methods for Comparing High ...
Computational Genomics 2024 | CSHL
Protein & DNA sequence similarity, comparisons, multiple alignments, and database searches; Alignment & analysis of high-throughput sequencing data, with ...
Industrial Big Data and Computational Sustainability: Multi-Method ...
Industrial Big Data and Computational Sustainability: Multi-Method Comparison Driven by High-Dimensional Data for Improving Reliability and Sustainability of ...
SequenceLab: A Comprehensive Benchmark of Computational ...
SequenceLab: A Comprehensive Benchmark of Computational Methods for Comparing Genomic Sequences ... Due to its high computational complexity, new ... We find that ...
Emphasis on connections between probability and statistics, numerical results of real data, and techniques of data analysis. Prerequisites: AP Calculus BC score ...
Exploratory Visual Analysis of Statistical Results from Microarray ...
The results of a statistical comparison between 21 malignant, high-grade glioblastoma multiforme (GBM) tumors and 19 indolent, low-grade pilocytic astrocytomas ...
Computational Methods for Numerical Analysis with R
Journal of Statistical Software. November 2018, Volume 87, Book ... For functions that may be of much higher order, noncontinuous, and ...
Comparison of Variable Selection Methods for Time‐to‐Event Data ...
Much debate is ongoing in both medical and statistical literature to explain this high rate of failure for prognostic signatures. Biological ...
High-throughput computational methods and software for ...
Experimental design and advanced statistics are used to minimize and estimate error variance. To investigate all these factors influencing biological systems it ...
Comparative study of computational algorithms for the Lasso with ...
... computational algorithms for the Lasso with high-dimensional, highly correlated data ... statistical learning via the alternating direction method of multipliers.
Statistics research: application and methods (STREAM) - Ca' Foscari
Current methodological research themes include Bayesian methods, Bayesian nonparametrics, categorical data analysis, computational methods, extreme values, ...
Comparative study of advanced computational techniques for ...
... statistical regression models. Thus, the goal of the current study ... high performance concrete composite with expanded polystyrene ...
Statistics for Analysts Who Hate Statistics, Part VII: Sum of Ranking ...
The sum of ranking differences (SRD) is a useful statistical tool for comparing methods, models, columns, or samples. It is also simple and straightforward.
Closing the Computational-Statistical Gap in Best Arm... - OpenReview
... high confidence regime, and (iii) enjoys polynomial sample complexity ... comparison with other non-efficient methods. Including such comparisons ...
Computational methods in statistics - Themes - Queen's University
Statistical methods for high throughput data · Statistical theory and modeling ... Comparative economic systems · Econometrics · Economic systems · Economics ...
1 Bayesian computational methods Christian P. Robert ... - Ceremade
Bayesian Statistics being a complete inferential methodology, its scope en- compasses the whole range of standard statistician inference (and design), from ...
Computational science - Wikipedia
Computational science, also known as scientific computing, technical computing or scientific computation (SC), is a division of science, and more ...
What Is Bioinformatics & How Does It Compare to Computational ...
High-throughput sequencing data, for instance, is processed to assemble ... statistical methods might overlook. Their adaptability and ...
A quantitative evaluation of computational methods to accelerate the ...
Comparison of chemical descriptors from DFT. DFT is the highest level of theory considered in this work. Therefore, the performance of the ...
Comparison of computational methods for the analysis of Hi-C data
For each method, we used the default statistical thresholds or the values suggested in the accompanying documentation to identify chromatin interactions or TADs ...
Statistical analysis in method comparison studies part one
Method comparison is commonly performed by laboratory specialists to assess the comparability of two methods. The quality of method comparison study determines ...